Taxonomy and resource modeling in combined fog-to-cloud systems

As the technology is rapidly evolving, the society as a whole is gradually surrounding by the Internet. In such a high connectivity scenario, the recently coined IoT concept becomes a commodity driving data generation rate to increase swiftly. To process and manage these data in an efficient way, a new strategy, referred to as Fog-to-Clod (F2C), has been recently proposed leveraging two existing technologies, fog computing and cloud computing, where resources are playing a pivotal role to manage data efficiently. In these scenarios, vast numbers of interconnected heterogeneous devices coexist, thus crafting a complex set of devices. Managing efficiently these devices requires a proper resources classification and organization. In this paper, we offer a model to classify and taxonomies the whole set of resources aimed to best suit the Fog-to-Cloud (F2C) paradigm.Peer ReviewedPostprint (author's final draft

Implementing virtual machine:a performance evaluation

A hypervisor is a hardware virtualization technique that allows multiple guest operating systems to run on a single host machine at the same time. Each Virtual Machine (VM) or known as guest operating system emulates all interfaces and resources of a real computer system. Virtualization is beneficial as one of the educational tools to facilitate students’ hands-on experiences and research activities. However, the performance of VM needs to be taken into consideration. We investigate the performance of a set of VMs using Oracle VirtualBox on several host machines, each of which has its own system specifications. We observe the resource utilization of each host machine in terms of its CPU utilization, CPU speed as well as memory usage. Experimental results show that the CPU utilization averages are 51.78%, 60.7% and 62.57% for cases before memory allocation, 1/2 of memory capacity and 2/3 of memory capacity, respectively. It is indicate that the utilization of a host processor is directly proportional to the memory capacity assigned for a virtual machine